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Enhancing the classification of seismic events with supervised machine learning and feature importance.

• Authors : Habbak, Eman L.¹ (AUTHOR) ; Abdalzaher, Mohamed S.² (AUTHOR); Othman, Adel S.¹ (AUTHOR)

• Source: Scientific Reports. 12/24/2024, Vol. 14 Issue 1, p1-17. 17p.

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Agricultural Cultivation Cost Prediction Using Neural Networks and Feature Importance Analysis

• Authors : Salmania Putri; Tora Fahrudin; Asti Widayanti

Subjects: artificial intelligence; cultivation cost; deep learning

• Source: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 9, Iss 1, Pp 31-39 (2025)

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Cross-Project Defect Prediction Based on Two-Phase Feature Importance Amplification.

• Authors : Xing Y; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, 100876 Beijing, China.; Lin W

Subjects: Artificial Intelligence* ; Software*; Databases, Factual

• Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Apr 18; Vol. 2022, pp. 2320447. Date of Electronic Publication: 2022 Apr 18 (Print Publication: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN:

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Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation.

• Authors : Chung H; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.; Ko H

Subjects: Artificial Intelligence*; COVID-19/COVID-19/COVID-19/*epidemiology; Adolescent

• Source: Journal of medical Internet research [J Med Internet Res] 2021 Apr 19; Vol. 23 (4), pp. e27060. Date of Electronic Publication: 2021 Apr 19.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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Inferring feature importance with uncertainties with application to large genotype data.

• Authors : Johnsen, Pål Vegard^1,2 (AUTHOR) ; Strümke, Inga^3,4 (AUTHOR); Langaas, Mette² (AUTHOR)

• Source: PLoS Computational Biology. 3/14/2023, Vol. 19 Issue 3, p1-22. 22p. 1 Diagram, 3 Charts, 3 Graphs.

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HYBRID METHOD FOR EVALUATING FEATURE IMPORTANCE FOR PREDICTING CHRONIC HEART

• Authors : Diseases Rashid Nasimov

Subjects: Artificial Intelligence; chronic heart diseases; feature importance

• Source: Academia Science Repository; Vol. 4 No. 6 (2023): wos; 598-608

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Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database

• Authors : Charat Thongprayoon; Caroline C. Jadlowiec; Napat Leeaphorn

Subjects: black; race; kidney transplant

• Source: Medicines; Volume 8; Issue 11; Pages: 66

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A Robust Method to Measure the Global Feature Importance of Complex Prediction Models

• Authors : Huayuan Liu; Xiaohang Zhang; Ling Wu

Subjects: General Computer Science; Computer science; robustness

• Source: IEEE Access, Vol 9, Pp 7885-7893 (2021)

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Text Guide: Improving the Quality of Long Text Classification by a Text Selection Method Based on Feature Importance

• Authors : Jozef Zurada; Waldemar Karwowski; Awad M. Aljuaid

Subjects: FOS: Computer and information sciences; feature importance; General Computer Science

• Source: IEEE Access, Vol 9, Pp 105439-105450 (2021)

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Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database

• Authors : Caroline C. Jadlowiec; Boonphiphop Boonpheng; Wisit Cheungpasitporn

Subjects: Nephrology; kidney transplant; medicine.medical_specialty

• Source: Medicines, Vol 8, Iss 66, p 66 (2021)MedicinesVolume 8Issue 11

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